{"id":"W4385478623","doi":"10.37256/ccds.5120233284","title":"Decision Making: Models, Processes, Techniques","year":2023,"lang":"en","type":"article","venue":"Cloud Computing and Data Science","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research & Development Corporation; University Canada West","funders":"","keywords":"Business decision mapping; Process (computing); Management science; Decision engineering; Computer science; Decision-making; Decision analysis; R-CAST; Knowledge management; Decision process; Decision support system; Artificial intelligence; Business; Engineering; Marketing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001592187,0.0001390919,0.0001300092,0.0003409075,0.000734449,0.001051539,0.002000054,0.00004014705,0.00001088161],"category_scores_gemma":[0.0008416098,0.0001161899,0.000009586682,0.003602665,0.0003764437,0.003487141,0.004205516,0.0001082128,0.0001271878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001018523,"about_ca_system_score_gemma":0.00008755487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008272102,"about_ca_topic_score_gemma":0.00001543041,"domain_scores_codex":[0.9981664,0.000002891792,0.0002158677,0.0007774041,0.0004499653,0.000387405],"domain_scores_gemma":[0.9986573,0.0001072387,0.0001193377,0.0008408676,0.0002580141,0.0000172278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002236659,0.00005378464,0.003399883,0.0004388901,0.000003891178,0.00002081492,0.0000751363,0.0005551449,0.0003260463,0.04282884,0.04717677,0.9050984],"study_design_scores_gemma":[0.00006676813,0.000005895745,0.001966413,0.0004989521,0.00001208705,0.00001464748,0.0001304565,0.8731226,0.0001125697,0.02888377,0.09486004,0.0003257343],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4991468,0.0007713862,0.4661952,0.001552485,0.00338928,0.0006176984,0.00008503563,0.003445317,0.02479687],"genre_scores_gemma":[0.9924098,0.00007504204,0.006040241,0.0005401934,0.0008117461,0.000001692697,0.00008268802,0.00001196215,0.00002662922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9047727,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398371884673038,"score_gpt":0.3664013006583592,"score_spread":0.2265641121910555,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}